Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/11663#discussion_r56406675
--- Diff: python/pyspark/ml/param/_shared_params_code_gen.py ---
@@ -105,64 +104,71 @@ def get$Name(self):
if __name__ == "__main__":
print(header)
print("\n# DO NOT MODIFY THIS FILE! It was generated by
_shared_params_code_gen.py.\n")
- print("from pyspark.ml.param import Param, Params\n\n")
+ print("from pyspark.ml.param import *\n\n")
shared = [
- ("maxIter", "max number of iterations (>= 0).", None, int),
- ("regParam", "regularization parameter (>= 0).", None, float),
- ("featuresCol", "features column name.", "'features'", str),
- ("labelCol", "label column name.", "'label'", str),
- ("predictionCol", "prediction column name.", "'prediction'", str),
+ ("maxIter", "max number of iterations (>= 0).", None,
"TypeConverters.convertToInt"),
+ ("regParam", "regularization parameter (>= 0).", None,
"TypeConverters.convertToFloat"),
+ ("featuresCol", "features column name.", "'features'", None),
+ ("labelCol", "label column name.", "'label'", None),
+ ("predictionCol", "prediction column name.", "'prediction'", None),
("probabilityCol", "Column name for predicted class conditional
probabilities. " +
"Note: Not all models output well-calibrated probability
estimates! These probabilities " +
- "should be treated as confidences, not precise probabilities.",
"'probability'", str),
+ "should be treated as confidences, not precise probabilities.",
"'probability'", None),
("rawPredictionCol", "raw prediction (a.k.a. confidence) column
name.", "'rawPrediction'",
- str),
- ("inputCol", "input column name.", None, str),
- ("inputCols", "input column names.", None, None),
- ("outputCol", "output column name.", "self.uid + '__output'", str),
- ("numFeatures", "number of features.", None, int),
+ None),
+ ("inputCol", "input column name.", None, None),
+ ("inputCols", "input column names.", None,
"TypeConverters.convertToList"),
--- End diff --
Handle list of str too?
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